Autoregressive models for biomedical signal processing-Reference-Cited by-同舟云学术

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Autoregressive models for biomedical signal processing

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Haderlein Jonas F.¹,Peterson Andre D. H.²,Burkitt Anthony N.¹,Mareels Iven M. Y.³,Grayden David B.⁴

Affiliation:

1. University of Melbourne,Dept of Biomedical Engineering,Australia

2. University of Melbourne,Dept of Medicine, St Vincent’s Hospital,Australia

3. Federation University Australia and Honorary Professor at University of Melbourne,Australia

4. Graeme Clark Institute, University of Melbourne,Australia

Funder

Australian Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340714.pdf?arnumber=10340714

Reference45 articles.

1. Connectivity measures applied to human brain electrophysiological data

2. Characterizing the role of the structural connectome in seizure dynamics

3. Neural fragility as an EEG marker of the seizure onset zone

4. Epileptic seizure suppression: a computational approach for identification and control using real data;Brogin;bioRxiv,2023

5. Brain–Computer InterfacesPrinciples and Practice

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning for Epilepsy: A Comprehensive Exploration of Novel EEG and MRI Techniques for Seizure Diagnosis;Journal of Medical and Biological Engineering;2024-06

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